Neural Processing Letters

, Volume 32, Issue 3, pp 219–233

New Results on Robust Exponential Stability of Uncertain Stochastic Neural Networks with Mixed Time-Varying Delays

Article

DOI: 10.1007/s11063-010-9152-y

Cite this article as:
Hua, M., Liu, X., Deng, F. et al. Neural Process Lett (2010) 32: 219. doi:10.1007/s11063-010-9152-y

Abstract

This letter considers the robust exponential stability of uncertain stochastic neural networks with mixed time-varying delays. By using Lyapunov–Krasovskii functional and Itô’s differential formula, several new sufficient conditions guaranteeing the global robust exponential stability are derived in terms of linear matrix inequalities. Numerical examples are given to illustrate the effectiveness and less conservativeness of our results.

Keywords

Stochastic neural networks Exponential stability LMIs Mixed time-varying delays 

Copyright information

© Springer Science+Business Media, LLC. 2010

Authors and Affiliations

  • Mingang Hua
    • 1
    • 2
  • Xinzhi Liu
    • 2
  • Feiqi Deng
    • 3
  • Juntao Fei
    • 1
  1. 1.College of Computer and InformationHohai UniversityChangzhouChina
  2. 2.Department of Applied MathematicsUniversity of WaterlooWaterlooCanada
  3. 3.College of Automation Science and EngineeringSouth China University of TechnologyGuangzhouChina

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